This collection of articles responds to the urgent need for timely and comprehensive reviews in a multidisciplinary, rapidly developing field of research. The book starts out with an extensive introduction to the ideas used in the subsequent chapters, which are all centered around the theme of collective phenomena in neural netwerks: dynamics and storage capacity of networks of formal neurons with symmetric or asymmetric couplings, learning algorithms, temporal association, structured data (software), and structured nets (hardware). The style and level of this book make it particularly useful for advanced students and researchers looking for an accessible survey of today's theory of neural networks
This book provides a complete study on neural structures exhibiting nonlinear and stochastic dynamic...
Neural networks, here, mean mathematical models of biological neural networks composed of neurons. T...
This thesis is a compendium of research which brings together ideas from the fields of Complex Netwo...
Review paper, 51 pages, 10 figuresInternational audienceWe consider neural networks from the point o...
We outline the main models and developments in the broad field of artificial neural networks (ANN). ...
Progress in science depends on the effective exchange of ideas among scientists. New ideas can be as...
Neural networks are models of the brain and have been used within Artificial Intelligence to provide...
Part 1: Invited PaperInternational audienceThe history of neural networks can be traced back to the ...
The study of neural networks by physicists started as an extension of the theory of spin glasses. Fo...
The aim of this book is to describe the types of computation that can be performed by biologically p...
Since the appearance of Vol. 1 of Models of Neural Networks in 1991, the theory of neural nets has f...
Organization of synaptic connectivity as the basis of neural computation and learning. Single and mu...
In focus of this dissertation is the theoretical background of the neural networks with a descriptio...
In this work we introduce the basic concepts of neural networks, their learning paradigms and learni...
Models of neural nets are developed from a biological point of view. Small networks are analyzed usi...
This book provides a complete study on neural structures exhibiting nonlinear and stochastic dynamic...
Neural networks, here, mean mathematical models of biological neural networks composed of neurons. T...
This thesis is a compendium of research which brings together ideas from the fields of Complex Netwo...
Review paper, 51 pages, 10 figuresInternational audienceWe consider neural networks from the point o...
We outline the main models and developments in the broad field of artificial neural networks (ANN). ...
Progress in science depends on the effective exchange of ideas among scientists. New ideas can be as...
Neural networks are models of the brain and have been used within Artificial Intelligence to provide...
Part 1: Invited PaperInternational audienceThe history of neural networks can be traced back to the ...
The study of neural networks by physicists started as an extension of the theory of spin glasses. Fo...
The aim of this book is to describe the types of computation that can be performed by biologically p...
Since the appearance of Vol. 1 of Models of Neural Networks in 1991, the theory of neural nets has f...
Organization of synaptic connectivity as the basis of neural computation and learning. Single and mu...
In focus of this dissertation is the theoretical background of the neural networks with a descriptio...
In this work we introduce the basic concepts of neural networks, their learning paradigms and learni...
Models of neural nets are developed from a biological point of view. Small networks are analyzed usi...
This book provides a complete study on neural structures exhibiting nonlinear and stochastic dynamic...
Neural networks, here, mean mathematical models of biological neural networks composed of neurons. T...
This thesis is a compendium of research which brings together ideas from the fields of Complex Netwo...